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\chapter{数学公式}
\label{chap:math}
\begin{equation}
\begin{split}
\mbox{Pr}\{S_i=0\}=\frac{a_i}{b_i+a_i} \\
\mbox{Pr}\{S_i=1\}=\frac{b_i}{b_i+a_i} \label{1}
\end{split}
\end{equation}
\cite{lshort-cn}


\begin{table}[htbp]
\centering
\caption{基于因子分析的失配补偿结果}\label{tab:jfa-gmm-ubm}
\begin{tabular}{cccccc}
    \toprule
    &\multirow{2}{*}{\#Mix}&\multicolumn{2}{c}{No-norm}
    &\multicolumn{2}{c}{Tnorm}\\
    \cline{3-4} \cline{5-6}
		&		& EER(\%) 	& MinDCF & EER(\%) 	& MinDCF\\
    \midrule
	\multirow{3}{*}{GMM-UBM}
    &256 		& 12.43 	& 0.0647	& 12.85    & 0.0580\\
    &512 		& 10.02 	& 0.0464	& 8.88 	   & 0.0370\\
    &1024 		& 9.97 	    & 0.0457	& 8.72 	   & 0.0372\\
    \midrule
	\multirow{3}{*}{Factor Analysis}
    &256 		& 8.09 	& 0.0331 	& 7.39 	& 0.0319\\
    &512 		& 7.08 	& 0.0305 	& 6.53 	& 0.0292\\
    &1024 		& 6.83 	& 0.0295 	& \textbf{6.29} 	& \textbf{0.0279}\\
 \bottomrule
\end{tabular}
\end{table}



\IncMargin{1em}
\begin{algorithm}
\SetKwData{Left}{left}\SetKwData{This}{this}\SetKwData{Up}{up}
\SetKwFunction{Union}{Union}\SetKwFunction{FindCompress}{FindCompress}
\SetKwInOut{Input}{input}\SetKwInOut{Output}{output}
\Input{$O_t,UBM,U$}
\Output{$x,y$}
\BlankLine
\emph{$y\leftarrow 0;$$x_h\leftarrow 0;$$h=1,...,H$ }\;
\For{$i=1$ \KwTo Number of E-M iterations}{
\emph{E Step}:\\
\For{$h=1$ \KwTo $H$}{\label{forins}
对于每一条语音段，计算其EM统计量（零阶统计量$N_h$,一阶统计量$S_{X,h}$\;
}
计算每一个人所有语音段的零阶统计量$N$\\
计算每一个人所有语音段的一阶统计量$S$\\
\emph{M Step}:\\
\For{$j=1$ \KwTo Number of Gauss-Seidel iterations}{
\For{$h=1$ \KwTo $H$}{\label{forins}
估计每一语音段$h$的失配因子$x_h$
}
估计模型的话者因子$y$
}
}
\Return{$\mu = m+Dy$}
\caption{disjoint decomposition}\label{algo_disjdecomp}
\end{algorithm}\DecMargin{1em}